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Bateni et al.

PulseAugur coverage of Bateni et al. — every cluster mentioning Bateni et al. across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_239474 ·

    New research refines AI information aggregation rates in networked models

    Researchers have refined the understanding of information aggregation rates in networked learning models, specifically within directed acyclic graphs (DAGs). Building on prior work by Kearns, Roth, and Ryu, this study a…

  2. TOOL · CL_205824 ·

    New paper establishes optimal lower bounds for networked information aggregation

    A new paper by Kearns et al. resolves a central open problem in networked information aggregation by establishing an $\Omega(1/\sqrt{D})$ lower bound for the mean squared error (MSE) on a path of length D. This finding …